SYSTEMS AND METHODS FOR LATTICE ENUMERATION-AIDED DETECTION

Patent №

US 7,945,008

Granted

2011-05-17

Filed 2008

Owner

TEXAS INSTRUMENTS INCORPORATED

Lab

AI components

2

ml · speech

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

12032309

Embodiments provide systems and methods for improved multiple-input, multiple-output (MIMO) detection comprising generating at least one list of candidate vectors by employing lattice enumeration which approximates hyperellipsoid detection search space and calculating a reliability of the candidate vectors. At least one advantage to embodiments is that improved detection occurs because detection can be performed in a search space defined by the eigenvectors (which define the general shape of an ellipsoid/hyperellipsoid, depending upon number of dimensions) and eigenvalues (which provide the appropriate scaling in each direction of the eigenvectors) of the effective channel.

Machine learningSpeechH04L 25/03242H04L 27/2647H04L 2025/03426

AI classification

Speech0.90
Machine learning0.78
AI hardware0.14
Natural language0.00
Vision0.00
Evolutionary computation0.00
Knowledge representation0.00
Planning0.00

Ownership

TEXAS INSTRUMENTS INCORPORATED

assignment · 205260313

Assignors

MILLINER, DAVID L., BATRA, ANUJ, HOSUR, SRINATH, WATERS, DERIC W.

On an employer assignment, the assignors are typically the inventors.

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